I'm currently testing my datasets and so far so good, unfortunately i'm unable to get rows that don't match my expectations. I'm using a SparkDFExecutionEngine Execution Engine
For exemple :
validator.expect_column_values_to_not_be_null(column="EmailAddress",result_format="COMPLETE",include_unexpected_rows=True)
does not yield the rest of the row when the email address is null, which means I have to manually read the dataset again by filtering on null. Is there a good way with GE to get the row when the expectation is not matched ? Thank you